The best web analytics tools: 8 options by use case

Updated 2026-11-02

Web analytics tools measure what happens on your website: who visits, where they came from, what they do and whether they convert. The category covers everything from one-page dashboards to data platforms. The best web analytics tools for you depend on what you plan to do with the numbers.

This list groups the tools by job. We make Headstream, so read our entry with that in mind. Competitor details come from vendor websites, checked on November 1, 2026. Confirm prices before you decide.

The four kinds of web analytics tool

General analytics. Broad reports on traffic and conversions. GA4 is the default here.

Simple analytics. One clean dashboard for traffic. Fathom and Plausible fit this group.

Product analytics. Event data about what users do in your app. PostHog and Mixpanel fit here.

Behavior analytics. Heatmaps and replays. Contentsquare, which now includes Hotjar, is the main name.

There's a fifth group on the edge of the category: attribution tools, which connect analytics to revenue. Headstream, DataFast and the B2B platforms belong here.

At a glance

1. Google Analytics 4

Best for: teams who want a free, familiar default and run Google Ads.

GA4 is free and widely known. It links directly to Google Ads and offers data-driven attribution. Standard properties keep event-level data for 2 or 14 months, and raw data can go to BigQuery. If you can only install one free tool and buy ads on Google, this is it.

2. Plausible

Best for: simple stats with code you can inspect.

Plausible has a privacy-first design and a clean dashboard. Its Community Edition is AGPL and can be self-hosted, though funnels and ecommerce revenue goals aren't in it. Hosted plans start at $9 for 10k pageviews and custom events. Revenue and funnels need the Business tier.

3. Fathom

Best for: clean website stats at a good price for higher traffic.

Fathom offers a simple cookieless dashboard and has a long record on privacy compliance. Plans begin at $15 for 100k, and 1M costs $60. Custom events share the same allowance.

4. PostHog

Best for: engineering-led product teams.

PostHog puts analytics, replay, feature flags, experiments, surveys and a data warehouse under one product. The free plan covers 1M analytics events and 5K recordings a month. Its Stripe revenue analytics is native. It offers MIT-licensed code too, and its docs describe self-hosting as officially unsupported.

5. Mixpanel

Best for: in-depth product usage analysis.

Mixpanel is mature, with strong funnels, retention and cohorts. It's free up to 1M events a month and includes heatmaps and session replay. Attribution is on Growth and Enterprise, with the widest list of models here.

6. Contentsquare (Hotjar)

Best for: seeing why people struggle on a page.

Hotjar merged into Contentsquare in July 2025. Heatmaps, replay and surveys are the heart of the product. The free plan covers 200k monthly sessions and captures a sample of replays. It charges by session, so compare your own numbers carefully.

7. Headstream

Best for: SaaS on Stripe that wants to tie traffic to revenue.

Headstream covers traffic, breakdowns, Sankey flows, funnels of up to 6 steps, a country map, goals and saved dashboards. It also includes heatmaps, session recordings, A/B tests and free downtime monitoring. Connect Stripe, in beta, and it credits payments to visits under four attribution models. Self-reported answers sit next to tracked data.

It stands out on checking. Headstream shows a Why this number page for headline metrics, a trail for each payment, a data quality page and a change log. It also offers an AI assistant, an MCP server, an API and a CLI.

It isn't the cheapest. After the free plan, it starts at $99 for 250k events. It sets a long-lived cookie, since attribution needs it, so it won't suit anyone who wants cookieless analytics. It's also new, with a shorter record than the others here. See what's in Headstream's web analytics.

8. DataFast

Best for: indie founders with payments outside Stripe.

DataFast is fast to set up and covers Stripe natively along with LemonSqueezy, Polar, Paddle, Shopify, WooCommerce and others. It includes funnels with revenue per step, plus an MCP server and CLI. There's a 14-day trial and no free plan.

How to pick a web analytics tool

Ask yourself these five questions.

What decision will this data drive?

If it's "should we keep funding this channel?", you need revenue data. If it's "is our new page performing?", simple stats may do. Pick the tool for your most frequent decision.

Who'll use it?

A founder wants an answer in 30 seconds. A data analyst wants raw events. If your team won't open the tool, its features don't matter.

What's your pricing unit?

Tools charge by pageview, event or session. For a rough estimate, count your monthly pageviews and add your custom events. Then check how each tool defines a billable unit. Headstream, for example, doesn't count bots, clicks, scroll, experiment or recording events.

Do you need cookieless tracking?

Attribution over months needs a stable visitor ID, and a cookie is the usual way to keep one. A tool that drops the cookie gives up some of that history. Decide which matters more to you, and check your consent obligations either way.

Can you check the numbers?

No analytics tool is perfect. Ad blockers, bots and devices all affect the count. Good tools tell you what they can't see. You can read what Headstream can't see as an example of what to look for.

Using more than one tool

Plenty of teams combine two. A common pair is GA4 for Google Ads plus a second tool for product, behavior or revenue data. Just pick one as your source of truth for each number, because no two tools will agree. Your analytics and billing data won't match either, and here's why.

Our recommendation

Start with the decision you need to make. For plain traffic, choose Fathom or Plausible. For Google Ads, keep GA4. For product usage, choose PostHog or Mixpanel. To see which marketing pays on Stripe, try Headstream free.

If you're leaving GA4 specifically, see our list of Google Analytics alternatives. To go further on revenue, read our guide to marketing attribution.